Federico Ivaldi

1.0k citations
45 papers · 752 · h-index 16

Impact in

  • Immunology top 10%
    • Immune Cell Function and Interaction
    • T-cell and B-cell Immunology
    • Immunotherapy and Immune Responses
  • Neurology top 10%
    • Long-Term Effects of COVID-19

Papers in

    • Immune Cell Function and Interaction 9
    • T-cell and B-cell Immunology 6
    • Immunotherapy and Immune Responses 6
    • Immunodeficiency and Autoimmune Disorders 4
    • Cytomegalovirus and herpesvirus research 12
    • Herpesvirus Infections and Treatments 7

Federico Ivaldi

43 papers receiving 740 citations

Peers

Federico Ivaldi
Comparison fields: 5 of 86
  • Immunology 269
  • Neurology 116
  • Pathology and Forensic Medicine 133
  • Physiology 37
  • Virology 30
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Citations per field
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Citations per year

Countries citing papers authored by Federico Ivaldi

Since Specialization
Citations

This map shows the geographic impact of Federico Ivaldi's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Federico Ivaldi with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Federico Ivaldi more than expected).

Fields of papers citing papers by Federico Ivaldi

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Federico Ivaldi. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Federico Ivaldi. The network helps show where Federico Ivaldi may publish in the future.

Co-authors

The 25 scholars most cited alongside Federico Ivaldi, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Federico Ivaldi Line = papers co-authored together Federico Ivaldi links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 45 papers — load more, or switch the sort, to bring in the rest.

#Work
1 201695
2 202259
3 201057
4 201648
5 201347
6 202040
7 201635
8 202129
9 201728
10 201224
11 200423
12 200821
13 202317
14 200817
15 202016
16 200716
17 202215
18 200615
19 202114
20 200612

About Federico Ivaldi

Federico Ivaldi is a scholar working on Immunology, Epidemiology, Pathology and Forensic Medicine, Neurology and Molecular Biology, having authored 45 papers that have together received 752 indexed citations. Recurring topics across this work include Cytomegalovirus and herpesvirus research (12 papers), Immune Cell Function and Interaction (9 papers), Multiple Sclerosis Research Studies (8 papers), Herpesvirus Infections and Treatments (7 papers), T-cell and B-cell Immunology (6 papers), Immunotherapy and Immune Responses (6 papers), Immunodeficiency and Autoimmune Disorders (4 papers) and HIV Research and Treatment (4 papers). The work is most often cited by research in Immunology (269 citations), Neurology (116 citations), Pathology and Forensic Medicine (133 citations), Physiology (37 citations) and Virology (30 citations). Federico Ivaldi has collaborated with scholars based in Italy, United States and Iran. Frequent co-authors include Fabrizio Manca, Giuseppina Li Pira, Antonio Uccelli, Nicole Kerlero de Rosbo, Alice Laroni, Paolo Moretti, Elda Righi, Alessandro Moretta, Roopali Gandhi and Simona Sivori. Their work appears in journals such as Journal of Immunological Methods, Immunology Letters, Human Immunology, Clinical and Vaccine Immunology and Neurology Neuroimmunology & Neuroinflammation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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